Adaptive reduced-rank estimation of nonstationary time-variant channels using subspace selection

IEEE Transactions on Vehicular Technology

Volumn 61, Issue 9, 2012, Pages 4042-4056

  Zemen, Thomas ^a   Molisch, Andreas F ^b  

^a TELECOMMUNICATIONS RESEARCH CENTER VIENNA FTW   (Austria)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Adaptive filter; discrete prolate spheroidal sequences; hypothesis test; IEEE 802.11p; intelligent transportation system (ITS); non stationary fading process; vehicular communications

Indexed keywords

DISCRETE PROLATE SPHEROIDAL SEQUENCE; FADING PROCESS; HYPOTHESIS TESTS; IEEE 802.11P; INTELLIGENT TRANSPORTATION SYSTEMS; VEHICULAR COMMUNICATIONS;

ADAPTIVE FILTERS; ALGORITHMS; COMMUNICATION CHANNELS (INFORMATION THEORY); ESTIMATION; INTELLIGENT SYSTEMS; NETWORK LAYERS; POWER SPECTRAL DENSITY; STANDARDS; VECTORS; VEHICLE LOCATING SYSTEMS;

CHANNEL ESTIMATION;

EID: 84869407730     PISSN: 00189545     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVT.2012.2211053     Document Type: Article

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